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Feature Selection

479 papers

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Papers

Embedded Feature Selection on Graph-Based Multi-View Clustering AAAI 2024
Quilt: Robust Data Segment Selection against Concept Drifts AAAI 2024
Learning Adaptive Kernels for Statistical Independence Tests AISTATS 2024
BlockBoost: Scalable and Efficient Blocking through Boosting AISTATS 2024
End-to-end Feature Selection Approach for Learning Skinny Trees AISTATS 2024
Supervised Feature Selection via Ensemble Gradient Information from Sparse Neural Networks AISTATS 2024
Discriminability-Driven Channel Selection for Out-of-Distribution Detection CVPR 2024
Spanning Training Progress: Temporal Dual-Depth Scoring (TDDS) for Enhanced Dataset Pruning CVPR 2024
Text vs. Transcription: A Study of Differences Between the Writing and Speeches of U.S. Presidents EMNLP 2024
Unified View Imputation and Feature Selection Learning for Incomplete Multi-view Data IJCAI 2024
Efficient Multi-view Unsupervised Feature Selection with Adaptive Structure Learning and Inference IJCAI 2024
Decorrelated Variable Importance JMLR 2024
Exploration of the Search Space of Gaussian Graphical Models for Paired Data JMLR 2024
More Efficient Estimation of Multivariate Additive Models Based on Tensor Decomposition and Penalization JMLR 2024
K-Nearest-Neighbor Local Sampling Based Conditional Independence Testing NIPS 2023
Joint Feature and Differentiable $ k $-NN Graph Learning using Dirichlet Energy NIPS 2023
Computing Approximate $\ell_p$ Sensitivities NIPS 2023
A Performance-Driven Benchmark for Feature Selection in Tabular Deep Learning NIPS 2023
Data Minimization at Inference Time NIPS 2023
Optimal Sparse Recovery with Decision Stumps AAAI 2023
DiFA: Differentiable Feature Acquisition AAAI 2023
Nearest-Neighbor Sampling Based Conditional Independence Testing AAAI 2023
Stepdown SLOPE for Controlled Feature Selection AAAI 2023
Weight Predictor Network with Feature Selection for Small Sample Tabular Biomedical Data AAAI 2023
Spearman Rank Correlation Screening for Ultrahigh-Dimensional Censored Data AAAI 2023